Add option for plot function to return figure and not display the figure itself. about mplfinance HOT 6 CLOSED

Yes the above code does work.

An example with tkinter follows:

DrawPlot.docx

from mplfinance.

wip

from mplfinance.

Your code above looks fine; I think you can simplify the else block as:

else:
    if config['returnfig']:
        return (fig)            
    # https://stackoverflow.com/a/13361748/1639359 suggests plt.show(block=False)
    plt.show(block=config['block'])

(the validator is already ensuring that config['returnfig'] is a bool, so there is no worry it's None).

I have never used tkinter so I don't know enough to say if returning the Figure will accomplish what you want it to. I suggest, if you feel comfortable, you can make the above change in your own fork, and then test it with your tkiniter code and let me know how it works out. If it accomplishes what you want it to accomplish with tkiniter, then I will consider merging it in.

from mplfinance.

OK. There are enough people asking for this. I will include it in the next release. (Maybe a week; maybe two weeks). Thanks for getting back to me.

from mplfinance.

Thanks for the quick responses.

Although I have not tried this, it seems that if one desired to add additional subplots, one could return the figure from mplfinance and then add as many subplots as one wanted using figure.add_subplot

from mplfinance.

Thanks for the quick responses.

Although I have not tried this, it seems that if one desired to add additional subplots, one could return the figure from mplfinance and then add as many subplots as one wanted using figure.add_subplot

I don't think that will work, because by default the subplots that mpf.plot() creates (main panel and lower [volume] panel) take up the entire Figure (except to leave some room for the axis labels).

However, I am now 95% certain that I will implement something like what I outlined here which should allow users to create as many subplots as desire in whatever configuration they desire. (The only uncertainty is not knowing what, if any, issues I may encounter while testing it; but my preliminary experiments seem to indicate that it will work OK).

from mplfinance.